• Roshaan Abrar Mughal
  • Benjamin Rindom Gøthler
Most commercially available myoelectric prostheses only provide the users with incidental feedback. Sudden changes in the signal make the prosthesis users have limited information to react to these changes to make sure they perform the correct movement and apply the correct muscle contraction. This limited information indicates that the robustness of the system in commercial prostheses is poor. With EMG biofeedback it is possible to provide the subjects with predictive feedback to the control signal, meaning that they will have knowledge of a change in the signal.
This study presents a system that is used to investigate the robustness of prosthesis control through the use of EMG biofeedback and Force feedback.
The proposed system was tested with five able-bodied subjects in a virtual routine grasping task, using a Myo armband. The experimental task was performed with two different feedback configurations. The outcome measures were success rate, completion time, and trend of adaptability.
The results demonstrated that EMG biofeedback generally performed better regarding quicker completion time compared to Force feedback. The results showed similar success rates for the two feedback configurations.
These two results suggested that the EMG biofeedback would be providing the prosthesis with a functional benefit. The trend of adaptability was not noticeable for the results in this study.
The present study showed that EMG biofeedback was providing the subjects with information which lead to a faster grasping during the routine grasping task, but it showed no considerable improvement in success rate, compared to Force feedback.
This study provides insight into the robustness of myoelectric prosthesis control, and the relevance of somatosensory feedback in the subject's adaptability of myoelectric control.
Publication date1 Jun 2020
Number of pages7
ID: 333416360